“This was a very stimulating, trailblazing event!”
“The outcome of this event has been beyond my greatest expectations. Of the twelve projects, 8 – 10 teams emerged from the two-day hackathon with actionable outcomes. The clinical projects in particular did very well. This event showcased the compute capabilities of our BioHPC as a truly outstanding computing infrastructure in the academic space. Our teams did not experience any of the common technical roadblocks that are often encountered at other hackathons.”
“It was easy for me to understand and ‘see’ the many potential applications of the methods for discovery science, clinical and translational research, and patient care. The most exciting aspect of the hackathon was the interdisciplinary team approach to the challenges. Many of the teams included clinicians and computer scientists working together to solve important clinical problems.”
Congratulations to our winners and to ALL of our teams for their accomplishments this weekend!
LYDA HILL AWARD (Best Overall of Technical Merit, Innovation, Clinical Application, Feasibility and Wow Factor): TEAM 6: ML PREDICTIVE SCORING FOR NEUROLOGICAL INJURY IN PEDIATRIC HEART-LUNG BYPASS (ECMO) PATIENTS
Team Members:
Neel Shah and Abdelaziz Farhat, UTSW Pediatric Critical Care
Jeon Lee, UTSW Bioinformatics Core Facility
Rafe McBeth, UTSW Medical Physics Resident
Ziheng Wang, UT Dallas UTD PhD candidate and Research Assistant in Mechanical Engineering
Best Use of Visualization Award (Highest Visualization Score): TEAM 8: DIFFERENTIATION OF METASTATIC POTENTIAL IN MELANOMA CELLS
Team Members:
Andrew Jamieson, UT Southwestern Medical Center
Elizabeth Zou, Massachusetts Institute of Technology
Colin Brochtrup, University of Texas at Dallas
Mahmoud Elgenedy, University of Texas at Dallas
Stephan Daetwyler, UT Southwestern Medical Center
Most Out-of-the-Box Award (Highest Innovation Score): TEAM 4: SIMULATING MOLECULAR DYNAMICS OF POTENTIAL DRUG TARGET REGIONS
Team Members:
Milo Lin, UT Southwestern Medical Center
Mike Trenfield, UT Southwestern Medical Center
Milo Lin, UT Southwestern Medical Center
John Yoo, University of Texas at Dallas
Umberto Ciri, University of Texas at Dallas
Kevin Nguyen, UT Southwestern Medical Center
Best Desk-to-Bedside Award (Highest Clinical Application Score): TEAM 1: MACHINE LEARNING TO DISTINGUISH T-CELL RECEPTOR SUBREGIONS
Team Members:
Bo Li, UT Southwestern Medical Center
Coby Herford, University of Texas at Dallas
Dat Ngo, University of Texas at Dallas
Sean Kennedy, University of Texas at Dallas
Calvin Ross, University of Texas at Dallas
Yingfei Chen, UT Southwestern Medical Center
Most Likely to Become a Start-Up Award (Highest Feasibility Score): TEAM 12: ML ALGORITHM FOR STAGING OF LIVER DISEASE
Team Members:
Jeffrey McDonald, UT Southwestern Medical Center
Alex Treacher, UT Southwestern Medical Center
Amir Shahmoradi, University of Texas at Arlington
Angeera Naser , University of Texas at Dallas
Goncalo DiasdoVale, UT Southwestern Medical Center
Kaitlyn Eckert, UT Southwestern Medical Center
Next Sci-Fi Blockbuster Award (Highest Wow Factor Score): TEAM 3: DEVELOPING DEEP LEARNING MODELS IN VIRTUAL REALITY
Team Members:
Murat Can Çobanoǧlu, UT Southwestern Medical Center
Xiaoxian Jing, Southern Methodist University
Meyer Zinn, St. Mark's School of Texas
Siddharth Agarwal, University of Texas at Arlington
Kevin VanHorn, University of Texas at Dallas
Michael Dannunzio, University of Texas at Dallas
